• DocumentCode
    3088911
  • Title

    SWOB: Swarm Intelligent Odour Based Routing for geographic wireless sensor network applications

  • Author

    Ghataoura, D.S. ; Yang Yang ; Matich, G. ; Galileo, S.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Coll. London, Torrington, CT, USA
  • fYear
    2009
  • fDate
    18-21 Oct. 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    For wireless sensor networks (WSN) involved in geographical surveillance type applications, obtaining information from a specified region of interest is important. The information itself is dependent upon the application type specific sensors deployed within the network region. For the purpose of this study we propose a new routing protocol called swarm intelligent odour based routing (SWOB) that uses network topology and geographic location information to coordinate effectively the routing tasks for information agents to traverse the network to the region of interest. SWOB applies the principles provided by social insects in odour localization. Using this natural principle SWOB uses a virtual Gaussian odour plume technique to describe the odour dispersion effects found in nature, allowing information agents in a distributed manner to be guided towards the region of interest effectively. Simulation results show the proposed scheme does indeed provide advantages on improving on latency by 98% and energy consumption performance by 75% when compared with basic flooding.
  • Keywords
    Gaussian processes; routing protocols; telecommunication network topology; wireless sensor networks; bandwidth efficiency; geographic location information; geographic wireless sensor networks; geographical surveillance; information agents; network topology; node location model; odour dispersion effects; routing protocols; swarm intelligent odour based routing; virtual Gaussian odour plume; Dispersion; Insects; Intelligent agent; Intelligent networks; Intelligent sensors; Network topology; Particle swarm optimization; Routing protocols; Surveillance; Wireless sensor networks; Wireless sensor networks; bandwidth effeciency; energy effeciency; swarm intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 2009. MILCOM 2009. IEEE
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-5238-5
  • Electronic_ISBN
    978-1-4244-5239-2
  • Type

    conf

  • DOI
    10.1109/MILCOM.2009.5380107
  • Filename
    5380107